Dr. Tilo Wendler is a Professor at the University of Applied Sciences HTW Berlin, Germany. He studied mathematics, physics and business information technology. In his doctoral thesis, he examined determinants of user expectations in using information technology. He is also interested in applying complex statistical methods in the banking sector, especially in the field of rating methods. He has been teaching business statistics and data mining for ten years.

Dr. Sören Gröttrup is a Professor of Machine Learning and Statistics at the Technische Hochschule Ingolstadt, Germany. After studying mathematics and computer science, he was awarded a Ph.D. for his research on stochastic models with biological applications. Alongside his doctoral studies, he worked as a data analyst, analyzing genomic data at a research institute. For many years, he worked as a data scientist in the airline and data-driven marketing business, and advised various companies on digitalization and machine learning projects.

Makes data mining accessible to those without programming skills

Provides a step-by-step introduction to the IBM SPSS Modeler

Includes a new chapter on imbalanced data and resampling techniques, and an extensive case study on CRISP-DM

Features numerous explanatory illustrations and data examples, together with easy access to ready-to-use datasets and solution streams

Covers all levels of complexity, from basic statistics to advanced predictive modeling